Volumetric Water Content at 10kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Turek et al. 2021) for each 1000 m cell
Predictions are based on the 3D Ensemble Machine Learning framework, as implemented in the R environ...
Technological advances have allowed in situ monitoring of soil water content in an automated manner....
Profile soil water contents (0) are important for scheduling irrigation, determining root water upta...
Volumetric Water Content at 10kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictio...
Volumetric Water Content at 10kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictio...
Volumetric Water Content at 1500kPa in 10-3 cm3cm-2 at 6 standard depths. Predictions were derived u...
Soil water content (volumetric) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard ...
Soil water content (volumetric) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard ...
Soil water content (weight percentage of water) in percent for 33 kPa and 1500 kPa suctions predicte...
Present global maps of soil water retention (SWR) are mostly derived from pedotransfer functions (PT...
Publisher's PDFThis paper describes the technical development and accuracy assessment of the most r...
SOIL-WATERGRIDS is a comprehensive data product of the monthly estimates of volumetric soil water co...
This paper describes the technical development and accuracy assessment of the most recent and improv...
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m ...
Available Water Capacity (in mm) derived by calculating Water Retention Difference (difference betwe...
Predictions are based on the 3D Ensemble Machine Learning framework, as implemented in the R environ...
Technological advances have allowed in situ monitoring of soil water content in an automated manner....
Profile soil water contents (0) are important for scheduling irrigation, determining root water upta...
Volumetric Water Content at 10kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictio...
Volumetric Water Content at 10kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictio...
Volumetric Water Content at 1500kPa in 10-3 cm3cm-2 at 6 standard depths. Predictions were derived u...
Soil water content (volumetric) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard ...
Soil water content (volumetric) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard ...
Soil water content (weight percentage of water) in percent for 33 kPa and 1500 kPa suctions predicte...
Present global maps of soil water retention (SWR) are mostly derived from pedotransfer functions (PT...
Publisher's PDFThis paper describes the technical development and accuracy assessment of the most r...
SOIL-WATERGRIDS is a comprehensive data product of the monthly estimates of volumetric soil water co...
This paper describes the technical development and accuracy assessment of the most recent and improv...
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m ...
Available Water Capacity (in mm) derived by calculating Water Retention Difference (difference betwe...
Predictions are based on the 3D Ensemble Machine Learning framework, as implemented in the R environ...
Technological advances have allowed in situ monitoring of soil water content in an automated manner....
Profile soil water contents (0) are important for scheduling irrigation, determining root water upta...